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Calculate Google Ads conversion rate and cost per conversion from clicks, conversions, and spend.
Use this Google Ads conversion rate calculator to benchmark search-campaign efficiency with a clean traffic-to-conversion view. The calculator is designed to give a fast answer, but the quality of the answer still depends on accurate inputs and a clear idea of what decision you are trying to support.
- Enter Google Ads Clicks, Conversions, and Ad Spend using the same units you plan to compare or report.
- Read the main conversion rate first, then use the supporting outputs to understand the trade-offs behind that result.
- Compare your numbers with the worked examples below if you want a quick reasonableness check.
Conversion rate shows how much of your traffic completes the target action, while cost per conversion links campaign performance directly to spend. On this page, the primary output is conversion rate.
Scenario 1: 6,200 Google Ads clicks, 214 conversions, $4,050 spend. Inputs used: visitors: 6200, conversions: 214, adSpend: 4050. Example result: 3.45%. This Google Ads scenario converts at 3.45%. Scenario 2: 14,500 Google Ads clicks, 522 conversions, $9,300 spend. Inputs used: visitors: 14500, conversions: 522, adSpend: 9300. Example result: 3.60%. For this search campaign period, the conversion rate is 3.60%.
Core formula: conversion rate = conversions / visitors * 100. The calculator compares completed actions with total traffic to show how efficiently a page, campaign, or funnel turns visitors into results.
- Cost per conversion uses ad spend divided by conversions.
- Consistent attribution windows matter if you compare campaigns across time periods.
Use this calculator when reviewing landing pages, campaigns, funnels, or channel performance and you need a fast conversion benchmark. Related paths for follow-up analysis include conversion rate calculator, campaign conversion rate calculator, lead conversion rate calculator, and sales conversion rate calculator.
Most bad outputs come from a few repeated input errors or interpretation mistakes. Use this short checklist before relying on the result.
- Comparing campaigns that use different conversion definitions.
- Using mismatched time windows for traffic, conversions, and spend.
- Looking only at conversion rate without checking conversion quality or revenue.
